The uncertainty and dynamic of home environment present great challenges to the task
planning of service robots. The nature of the home environment is highly unstructured, with a …

This paper describes a 3D object perception and perceptual learning system developed for
a complex artificial cognitive agent working in a restaurant scenario. This system, developed …

This paper reports on the aims, the approach, and the results of the European project RACE.
The project aim was to enhance the behavior of an autonomous robot by having the robot …

Learning and deliberation are required to endow a robotwith the capabilities to acquire
knowledge, perform a variety of tasks and interactions, and adapt to open-ended …

Deliberation and learning are required to endow a robot with the capabilities for acquiring
knowledge, performing a variety of tasks and interactions, and adapting to open-ended …

Rich semantic information in natural language increases team efficiency in human
collaboration, reduces dependence on high precision data information, and improves …

Experience-based planning domains (EBPDs) have been proposed to improve problem
solving by learning from experience. They rely on acquiring and using task knowledge, ie …

Learning robot task models with loops helps to increase both the applicability and the
compactness of task knowledge. In the framework of Experience-Based Planning Domains …

This paper addresses robot task model learning and planning with loops. By detecting and
modeling loops in solved tasks it is possible to learn and solve wider classes of problems …

Salah satu jenis tumbuhan yang sangat penting untuk dimasukkan dalam menu makanan
rutin adalah kacang tanah. Pertumbuhan populasi dunia, pengetahuan gizi meningkat, dan …